InfoQ Homepage Articles
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There's No AI (Artificial Intelligence) without IA (Information Architecture)
Artificial intelligence (AI) is increasingly hyped by everyone, from well-funded startups to well-known software brands. In this article the author describes the need for high-quality, structured data before AI technologies can be of use to organizations and their customers.
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In Defence of the Monolith, Part 2
In the age of microservices, "monolith" has become a dirty word. Yet, monoliths, designed with an emphasis on modularity, can be a better solution for complex domains, such as enterprise applications. The second part of this 2-part series covers a practical approach to creating a successful, modular monolith.
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The Divisive Effect of Separate Issue Tracking Tools
Separate issue tracking systems for Development and IT Operations are a source of conflict and ineffectiveness for many organizations. For effective Database Lifecycle Management (DLM), we typically need shared issue tracking systems where DBA teams can see upcoming work from Development and Development teams can see details of live service issues logged from Production.
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Agile Scaling in Action
The biggest reason for adopting agile at scale is that despite the fantasy that a collection of agile teams will somehow organically integrate to deploy a program, that is not the reality. That’s why for larger dev/test outfits or projects, companies sometimes roll up individual agile teams into one agile environment at enterprise scale. Yousef Awad presents lessons learned and words to the wise.
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How to Make Different Types of JavaScript Lists? Four Examples with Webix
Sergey Laptick shows how to create web components to display data in the form of different types of lists using the Webix UI Library. From simple lists, to advanced, interactive lists, Laptick discusses the core concepts behind Webix lists and how to create your own, customized list implementations.
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Teams and the Way They Work
The terms “self-organised” and “cross functional” are often used to describe a team. What does this mean, and how will you recognise if your team has these features? Great teams work with the uniqueness of each person’s skills, experiences and outlook – forging the motivation to achieve a shared goal, within the constraints in which they operate.
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A Security Approach for a Cloudy World: An Interview with Pete Cheslock
Does your approach to application and data center security change when adopting cloud services? To learn more about this topic, InfoQ reached out to Pete Cheslock, head of operations and support teams at Threat Stack.
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In Defence of the Monolith, Part 1
In the age of microservices, "monolith" has become a dirty word. Yet, monoliths, designed with an emphasis on modularity, can be a better solution for complex domains, such as enterprise applications. Part 1 of this 2-part series explores the key differences between microservices and monoliths, highlighting the pros and cons of each approach.
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Monte Carlo Planning Improves Decision Making
De la Maza helped a startup IPO by applying Monte Carlo to a planning problem. Learn how Monte Carlo planning provides a rigorous, quantitative account of what the future may bring. It has advantages over standard average case approaches and you can start with a simple Excel spreadsheet.
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Big Data Processing Using Apache Spark - Part 6: Graph Data Analytics with Spark GraphX
In this article, author Srini Penchikala discusses Apache Spark GraphX library used for graph data processing and analytics. The article includes sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.
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Three Experts on Big Data Engineering
Clemens Szyperski (Microsoft), Martin Petitclerc (IBM), and Roger Barga (Amazon Web Services) answer three questions: What major challenges do you face when building scalable, big data systems? How do you address these challenges? Where should the research community focus its efforts to create tools and approaches for building highly reliable, scalable, big data systems?
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Hit or Miss: Reusing Selenium Scripts in Random Testing
Just like during test execution process using an ‘exploratory’ technique, which is guided by a great deal of solid analytical thinking and a good portion of randomness, we can reuse or automate scripts to achieve similar results. All you need is a well-designed test automation solution and a bit of patience. Read the article to learn how you can use this approach in your testing activities.